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In many cases, the derivation of high-resolution digital terrain models (DTMs) from planetary surfaces using only conventional digital image matching is a problem. The matching methods need at least a stereo pair of images covering an area with sufficient texture. Often though, space missions provide only a few stereo images and planetary surfaces often possess insufficient texture. This paper describes a method for the generation of high-resolution DTMs from planetary surfaces using digital optical images developed by the authors over a number of years. The suggested method, termed “multi-image shape-from-shading” (MI-SFS), is able to generate a planetary DTM with an arbitrary number of images of low texture. Therefore, MI-SFS is a suitable method in areas, in which image matching fails to yield a DTM. The paper contains a short review of the theory of MI-SFS, followed by a presentation of results, which were obtained with images from NASA’s lunar mission Clementine. These results constitute the first practical application of MI-SFS using extraterrestrial imagery. The reconstruction of the lunar surface is made with the assumption of different kinds of reflectance models (LommelSeeliger and Lambert model). The represented work shows that the derivation of a high-resolution DTM of real digital planetary images by means of MI-SFS is feasible.